Crowd Predictions in Venture Capital

Anders Christian Scheuer Rasmussen & Oscar Christian Kehlet

Student thesis: Master thesis

Abstract

The objective of this study was to apply The Wisdom of Crowds in the setting of Venture Capital. It was explored whether crowds that were large, diverse and independent were more accurate in their predictions than small groups of experts within the industry of venture capital. Additionally, it was investigated whether certain characteristics of experts could explain predictability and if predictions were a result of confidence bias. To measure to the performance of the crowds, a crowd prediction tournament was developed, where four early-stage start-ups were assessed and evaluated on. The results indicated that a group of 58 non-experts could outperform 7 experts with domain knowledge. However, the results were insignificant. The researchers found significant evidence that, when evaluating the potential of start-ups, the product was the most essential evaluation criteria.

EducationsMSc in International Business, (Graduate Programme) Final ThesisCand.merc.smc Strategic Market Creation, (Graduate Programme) Final Thesis
LanguageEnglish
Publication date2018
Number of pages115
SupervisorsCarina Antonia Hallin